Hello Oliver,
Thanks for your suggestion.
Unfortunately, a smoothing function would not be useful, since the
system has binary states.
I figured a way to do this is to include the f[x] function into the
x'[t] equation such as
x'[t] == f[x[t]] + Sin[t]
(f[x] has only two states and no smoothing)
and use NDSolve to solve for x[t]. This works. And then I can evaluate
f[x[t]] using the NDSolve solution.
Just to summarize this discussion: NDSolve does not support binary
variables as part of the state?
Ravi
Oliver Ruebenkoenig wrote:
>
>
> Ravi,
>
> would a smoothing function be useful?
>
> f[x_] := Which[
> x <= -1, 0,
> -1 < x < 1, 1/2 + x (15/16 - x^2 (5/8 - 3/16 x^2)),
> x >= 1, 1] + 1
>
> Plot[f[(x - 0.1)/0.001], {x, -0.2, 0.2}]
>
> eqns = {x'[t] == y[t] + Sin[t], y[t] == f[t], x[-\[Pi]] == 1/2};
> sol = NDSolve[eqns, {x[t], y[t]}, {t, -5, 5}]
>
> Hope this helps,
>
> Oliver
>
> On Mon, 1 Nov 2010, Ravi Balasubramanian wrote:
>
>> Friends,
>>
>> I am trying to solve a hybrid dynamics problem using NDSolve.
>>
>> I am aware that I could use the event locator methods in NDSolve and
>> manually take care of the transitions (set initial conditions etc). But
>> my system is complicated, and I would have to do a lot of book-keeping.
>>
>> The following represents a simplified version of the problem.
>>
>> eqns = {x'[t] == y[t] + Sin[t], y[t] == If[t < 0.1, 1, 2],
>> x[-Pi] == 1/2};
>> sol = NDSolve[eqns, {x[t], y[t]}, {t, -5, 5}]
>>
>> It is a first order differential equation in x[t], but it includes a
>> y[t] variable that is discontinuous. There should be solution for this
>> problem, but I get the following error message from NDSolve.
>>
>> LinearSolve::"nosol" : "Linear equation encountered that has no solution.
>>
>> The error is probably arising from the "If" condition.
>>
>> FYI, in my real system the y[t] variable is a Lagrange multiplier that
>> is enforcing a constraint. Under certain conditions, that constraint is
>> broken and the system transitions into another state. It will be great
>> if this problem can be solved with NDSolve keeping track of the y[t]
>> variable for me. Any suggestions greatly appreciated.
>>
>> Thanks!
>>
>> Ravi Balasubramanian
>> Yale University
>>
>>